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Data Analyst with less than a year in Data Analysis, Machine Learning & Generative AI
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Highly motivated and results-driven Data Analyst with 2.8 years of experience in data analysis, machine learning, and generative AI. Proven ability to transform complex data into actionable insights, build interactive dashboards, and develop AI-powered solutions. Skilled in Python, SQL, Power BI, and various machine learning frameworks, with a strong focus on delivering impactful data-driven strategies for business improvement.
Chaitanya Bharathi Institute of Technology
Bachelor of Technology
June 1, 2019 – August 1, 2023
Generative AI Project - Mental Wellness Chatbot
January 1, 2025 – June 1, 2026
Developed a compassionate AI chatbot for mental wellness, leveraging LangChain for intelligent query responses. Integrated PDF document handling to process and respond to queries with high accuracy. Designed a user-friendly interface using Gradio, ensuring accessibility and inclusivity for diverse users. Built an advanced retrieval mechanism using HuggingFace Embeddings and ChromaDB for enhanced response precision. Created a modular architecture with recursive text splitting and custom prompts, ensuring contextual and empathetic responses. Deployed the chatbot with state persistence, enabling continuous conversation tracking and improved user experience.
Deep Learning Project
August 1, 2024 – January 1, 2025
Designed an automated attendance system leveraging OpenCV and Haar cascade classifier for real-time facial recognition. Implemented the Random Forest algorithm to improve accuracy and robustness in facial detection and attendance tracking. Enhanced efficiency in attendance reporting, resulting in a streamlined administrative workflow.
Machine Learning Project - Churn Analysis on Telecommunication and Building Machine Learning Model
May 1, 2024 – October 1, 2024
Performed EDA using Python to identify key factors affecting customer churn. Developed and evaluated machine learning models including Logistic Regression, Decision Tree, Random Forest, and SVM. Addressed data imbalance using the F1 score for evaluation, achieving 65% accuracy with Logistic Regression. Identified key churn drivers, such as tenure and monthly charges.
Exploratory Data Analysis - Ambition Box
February 1, 2024 – July 1, 2024
Analyzed top-rated and high-salary companies using visualization techniques. Identified rating and salary patterns across sectors for strategic insights. Explored key factors influencing company performance.
Sales Analytics Dashboard
November 1, 2023 – April 1, 2024
Built an interactive dashboard with KPIs (Revenue: 984.87M, Sales Qty: 2M). Created visuals for market-wise performance, trends, top customers & top products. Applied data cleaning, relationship modeling & DAX measures. Enabled drill-down insights using dynamic slicers (Year/Month).
Pizza Sales Analysis
August 1, 2023 – January 1, 2024
Developed SQL queries to analyze revenue, top-selling pizzas, and category-wise performance. Used JOINS, GROUP BY, aggregations & window functions for ranking and cumulative revenue. Identified customer order patterns, peak hours, and % contribution of each pizza type. Delivered insights for inventory optimization and product improvements.
Data Science Mentorship Program
Innomatics Research Labs
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a broad interest in various data-related fields, from traditional data analysis and business intelligence to machine learning, deep learning, and generative AI. This diversity suggests an eagerness to learn and adapt to new technologies, which is a positive indicator for cultural fit in an innovative environment. The focus on practical application in projects, even if academic, shows a results-oriented mindset. The target role of 'Data Analyst' aligns well with the core skills demonstrated in SQL and Power BI projects, while the ML/AI projects indicate potential for growth into more advanced analytical roles.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Rapport Building, Strong Stakeholder Management, People Management, and Excellent Communication. These indicate a potential for good team collaboration and effective interaction with stakeholders, which are crucial for a Data Analyst role. The project descriptions are clear and well-structured, suggesting good communication skills in documenting technical work.